This is a fully remote position, open to applicants in India.

• Develop scalable data pipelines.

• Enforce governance and quality standards.

• Assist in the enterprise data architecture.

• Collaborate closely with the Senior Data Architect.

• Create dependable, secure, and high-performance data pipelines utilizing Databricks, Spark, and cloud-native technologies.

• 3–5 years of experience in data engineering, ETL, or cloud data platforms.

• Proficiency with Databricks, Spark, PySpark, or distributed data processing.

• Strong skills in SQL and structured data transformation.

• Familiarity with at least one cloud platform (Azure preferred; AWS/GCP acceptable).

• Understanding of data modeling, schema evolution, pipeline troubleshooting, and data quality.

• Knowledge of security practices including RBAC, encryption, and credential management.

• Experience with Delta Lake, medallion architecture, and lakehouse design.

• Acquainted with Unity Catalog, Purview, Glue Catalog, or similar tools.

• Experience with orchestration tools (ADF, Airflow, Databricks Workflows).

• Familiarity with Git, CI/CD, and DevOps practices.

• Knowledge of Power BI, geospatial data, or AI/ML data preparation.

• Relevant cloud or Databricks certifications (DP-203, Data Engineer Associate, etc.).

• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.

• Be a key member of a dynamic, growing company that is highly regarded in its industry.

• Competitive salary based on experience.

Data Engineer

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